Welcome to our dedicated page for Elastic N.V. news (Ticker: ESTC), a resource for investors and traders seeking the latest updates and insights on Elastic N.V. stock.
Elastic N.V. (NYSE: ESTC), frequently described as the Search AI Company, generates a steady flow of news around search, artificial intelligence, observability, and security. This page aggregates news coverage and press releases about Elastic, giving investors and technology professionals a single place to review its latest product announcements, partnerships, financial updates, and strategic initiatives.
Company news often highlights advances in the Search AI Platform, including enhancements to Elasticsearch as a document and vector database for generative AI and knowledge discovery. Elastic reports on new capabilities such as Agent Builder for building AI agents on enterprise data, Elastic Inference Service for GPU-accelerated inference, and agentic AI features embedded in observability and security products. These updates show how the company is positioning its platform for AI-native, search-powered applications.
Elastic also issues news on its observability offerings, including innovations in the Elastic Distribution of OpenTelemetry (EDOT), managed OTLP endpoints, and features like Streams that apply agentic AI to log analysis. Announcements frequently describe integrations with major cloud and AI ecosystems, such as Amazon Bedrock AgentCore, Azure AI Foundry, and Google Vertex AI, reflecting Elastic’s focus on open standards and interoperability.
Security and public sector developments are another recurring theme. Elastic has announced a partnership with the Cybersecurity and Infrastructure Security Agency (CISA) and ECS to build a FedRAMP-hosted SIEM-as-a-Service platform for U.S. federal civilian agencies, as well as a strategic investment in Siren to support AI-driven investigations for national security and financial crime. Investors can also find earnings releases, conference participation notices, and recognition from analyst firms such as IDC and Forrester, which provide additional context on Elastic’s market positioning.
By reviewing this news feed regularly, readers can follow how Elastic’s technology, partnerships, and financial disclosures evolve over time and how these developments relate to ESTC stock and the broader software and AI landscape.
Elastic (NYSE: ESTC) reported its Q1 fiscal 2025 financial results, showing strong growth but facing challenges. Total revenue reached $347 million, up 18% year-over-year, while Elastic Cloud revenue grew 30% to $157 million. Despite outperforming guidance, the company experienced a slower start due to segmentation changes impacting customer commitments. GAAP operating loss was $34 million, with a non-GAAP operating income of $37 million. The company maintains a strong financial position with $1.147 billion in cash and equivalents. Elastic is seeing momentum in GenAI adoption but has adjusted its fiscal 2025 outlook, projecting total revenue between $1.436 billion and $1.444 billion, representing 14% year-over-year growth at the midpoint.
Elastic (NYSE: ESTC) has announced the addition of the GNU Affero General Public License v3 (AGPL) as a licensing option for a subset of Elasticsearch and Kibana source code. This OSI-approved open source license will be available alongside the existing Server Side Public License 1.0 (SSPL 1.0) and Elastic License 2.0 (ELv2). The move aims to officially classify Elasticsearch and Kibana as open source, enabling users to use, modify, redistribute, and collaborate on Elastic's source code under a well-known open source license.
This change is expected to increase engagement and adoption, particularly in areas like vector search and GenAI applications. Importantly, the addition of AGPL does not affect existing users of SSPL or ELv2, nor does it impact Elastic's binary distributions or client libraries, which will continue to be licensed under Apache 2.0.
Elastic (NYSE: ESTC), the Search AI Company, has announced its management's participation in three upcoming investor conferences in September 2024:
- Citi Global TMT Conference on September 4 at 9:30 a.m. PT / 12:30 p.m. ET
- Goldman Sachs Communacopia & Technology Conference on September 9 at 3:05 p.m. PT / 6:05 p.m. ET
- Piper Sandler Growth Frontiers Conference on September 11 at 7:30 a.m. PT / 10:30 a.m. ET
Live webcasts and replays of these events will be available on Elastic's Investor Relations page at ir.elastic.co. This announcement highlights Elastic's commitment to engaging with investors and sharing insights about the company's performance and future prospects.
Elastic (NYSE: ESTC) has announced that its Elasticsearch Open Inference API now integrates with Anthropic's Claude models, including Claude 3.5 Sonnet, Claude 3 Haiku, and Claude 3 Opus. This integration allows developers to access Claude models directly from their Anthropic account, enabling real-time analysis of proprietary data and generation of business insights.
The collaboration aims to help customers build efficient and reliable AI applications. Key features include support for inference during ingestion pipelines and the ability to generate and store answers to frequently asked questions, which can help minimize latency and costs. The integration is available immediately, offering developers a powerful tool for AI-driven search and analytics.
Elastic (NYSE: ESTC) has announced support for Google Cloud's Vertex AI platform and Gemini models in its Elastic Attack Discovery and AI Assistant for Security. This integration provides security analysts with additional large language model (LLM) options to enhance their threat detection and response capabilities.
The collaboration aims to streamline security operations workflows by leveraging Google Cloud's Gemini 1.5 model via the Vertex AI platform. This integration enables improved contextual understanding of threats and offers enhanced analysis capabilities for security professionals.
Elastic Security Labs is actively developing and optimizing detection rules for Vertex AI and other leading technologies. The support for Google Cloud's Gemini 1.5 model via Vertex AI is available immediately.
Elastic (NYSE: ESTC) has partnered with LangChain to develop AI-driven security innovations for SOC teams. This collaboration has led to the creation of features like Automatic Import, Attack Discovery, and Elastic Assistant for Security on the Elastic Search AI Platform. These features aim to streamline user migration to AI-driven security analytics and expedite security operations workflows.
The integration leverages LangChain and LangGraph to enhance the Elastic AI Assistant's ability to understand complex security scenarios, identify attacks, and create accurate data integrations. Users can integrate these features with their preferred LLM through the Elastic Open Inference API and LangChain's chat model ecosystem.
Elastic (NYSE: ESTC), the Search AI Company, has announced it will release its financial results for the first quarter of fiscal 2025, ended July 31, 2024, after the U.S. market close on Thursday, August 29, 2024. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET on the same day to review its financial results and business outlook. Investors can access a live webcast of the conference call from the Elastic investor relations website at ir.elastic.co. A replay of the webcast will be available for two months following the call.
Elastic (NYSE: ESTC) has introduced Elastic Distributions of OpenTelemetry (EDOT), a portfolio of OpenTelemetry (OTel) components designed to enhance infrastructure and application monitoring. EDOT offers deeper insights, troubleshooting capabilities, and enterprise-grade support from Elastic. The portfolio includes the Elastic Distribution of OpenTelemetry Collector and Elastic Distributions of Language Software Development Kits (SDKs) supporting Java, Python, NodeJS, .NET, iOS, and Android.
EDOT brings additional application performance monitoring (APM) capabilities from Elastic's APM agents into OTel language SDKs while maintaining seamless integration with Elastic Observability. Elastic plans to release OTel versions of its APM agents and continue adding language SDKs mirroring OTel. EDOT is currently available in tech preview, with details and documentation accessible in Elastic's public OpenTelemetry GitHub repository.
Elastic (NYSE: ESTC) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for its Elastic Observability offering. This recognition is based on Elastic's Completeness of Vision and Ability to Execute.
Key features of Elastic Observability include:
- Proactive issue detection using AI and machine learning
- Cost-effective observability with up to 50% savings
- Open and extensible solution for future-proofing investments
- AI-augmented insights for SREs
- Fast analytics across petabytes of indexed data
- Unified data store for improved uptime and long-term analysis
Equinox, a customer, reported creating a 'single pane of glass' for data consumption and reducing fix deployment time by 50% using Elastic's solution.
Elastic (NYSE: ESTC) has launched Elastic Express Migration, a program designed to simplify the transition from legacy SIEM vendors to Elastic's AI-driven security analytics platform. The program offers migration credits to offset dual-vendor costs during transition and service credits for Elastic's migration professional services.
Key features of the migration process include:
- AI-based Automatic Import to automate custom data integrations
- 400+ prebuilt integrations for data onboarding
- Elastic AI Assistant to auto-convert existing detection rules
- ES|QL, a powerful new query language
The program aims to address challenges in SIEM migration, such as onboarding data sources and transferring detection rules, while providing a cost-effective solution for organizations seeking to modernize their security operations centers.